Data Blocks Scheduling Schemes for Regional Distributed Storage Networks

Abstract

In the Web3, the data distributed storage has become a crucial method for secure, reliable, and efficient data storage, and an efficient distributed scheduling and distribution strategy is essential for achieving rapid data response. This paper proposes a distributed data scheduling strategy that improves the firefly algorithm to achieve optimal scheduling path selection for regional data storage. By considering the storage nodes spatial status, it enables the rapid distribution and storage of data blocks. The storage path is implemented by smart contracts and stored on the blockchain with the data block identifier. Through simulation, our proposed scheduling algorithm demonstrates better performance and higher trustworthiness compared to traditional storage models.